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2020 – today
- 2024
[c7]Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) 2024: 11496-11517- [c6]Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
Calibrating Large Language Models Using Their Generations Only. ACL (1) 2024: 15440-15459 - [i8]Martin Gubri
, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR abs/2402.12991 (2024) - [i7]Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
Calibrating Large Language Models Using Their Generations Only. CoRR abs/2403.05973 (2024) - 2023
- [b1]Martin Gubri:
What Matters in Model Training to Transfer Adversarial Examples. University of Luxembourg, Luxembourg City, Luxembourg, 2023 - [c5]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023 - [i6]Martin Gubri, Maxime Cordy, Yves Le Traon:
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability. CoRR abs/2304.02688 (2023) - [i5]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - 2022
- [c4]Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Influence-driven data poisoning in graph-based semi-supervised classifiers. CAIN 2022: 77-87 - [c3]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) 2022: 603-618 - [c2]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
Efficient and transferable adversarial examples from bayesian neural networks. UAI 2022: 738-748 - [i4]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR abs/2207.13129 (2022) - 2020
- [c1]Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon:
Search-based adversarial testing and improvement of constrained credit scoring systems. ESEC/SIGSOFT FSE 2020: 1089-1100 - [i3]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. CoRR abs/2011.05074 (2020) - [i2]Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Effective and Efficient Data Poisoning in Semi-Supervised Learning. CoRR abs/2012.07381 (2020)
2010 – 2019
- 2018
- [i1]Martin Gubri:
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression. CoRR abs/1801.01953 (2018)
Coauthor Index
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